Senior IT Director Data and Analytics

15000 Valmont Plaza Omaha Nebraska 68154

We’re Here to Move the World Forward.

Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better.

Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today. We are the modern workforce. Are you ready to move the world forward? Apply now.

The Senior Director, Data & Analytics is the enterprise leader accountable for Valmont’s end-to-end Data and Analytics function. Reporting to the CIO, this role defines and executes the company’s data and analytics strategy, governance, platforms, operating model, and business enablement approach to ensure analytics capabilities drive measurable business outcomes.

This role owns the enterprise data and analytics vision with Databricks as Valmont’s core lakehouse platform, partnering closely with business stakeholders and peer IT leaders across Infrastructure & Operations, Software Engineering, Applications, and IT Business Partners to deliver scalable, secure, and reliable analytics solutions while enabling self‑service, data literacy, and insight‑driven decision making across the enterprise.

Location:

Omaha, NE;
Carrolton TX;
Austin TX

• Define and execute Valmont’s enterprise Data & Analytics strategy aligned to business and technology priorities, with Databricks as the foundational analytics platform.
• Serve as the sole point of accountability for data and analytics outcomes across the organization.
• Establish and govern enterprise data governance, data quality, metadata, and lifecycle management frameworks in partnership with business leaders.
• Act as a trusted advisor to the CIO, executive leadership, and business stakeholders on data‑driven decision making and analytics investment decisions.
• Design, implement, and continuously mature the enterprise Data & Analytics operating model, including Centers of Excellence, domain enablement, and federated analytics capabilities.
• Establish enterprise standards for analytics development, self‑service enablement, and reuse leveraging Databricks, BI, and semantic‑layer capabilities.
• Drive adoption of self‑service analytics, standardized information marts, and reusable data products built on the Databricks lakehouse.
• Own enterprise data literacy, AI enablement, and analytics capability‑building initiatives, including training, enablement, and change management for Databricks‑based analytics.
• Define and track analytics adoption, value realization, and business impact metrics across domains.
• Own the enterprise data and analytics platform vision, roadmap, and standards, with Databricks as the core lakehouse platform for data integration, analytics, and advanced insights.
• Define standards and guardrails for data modeling, analytics workloads, and consumption patterns on Databricks to ensure scalability, reliability, and cost effectiveness.
• Partner with Infrastructure & Operations and Software Engineering leaders to ensure Databricks and supporting cloud services are secure, performant, and operationally sound.
• Partner with Applications leadership to ensure ERP, operational systems, and business applications are effectively integrated into the Databricks lakehouse.
• Oversee onboarding of domains, data sources, and analytics use cases onto Databricks to support enterprise reporting, advanced analytics, and future AI/ML capabilities.
• Collaborate with IT Business Partners and business leaders to translate enterprise and functional strategies into analytics roadmaps delivered via the Databricks platform.
• Enable insight‑driven decision‑making across operations, supply chain, finance, sales, and corporate functions using trusted data and standardized metrics.
• Build, lead, and…